Identification of potential diagnostic biomarkers and therapeutic targets for endometriosis based on bioinformatics and machine learning analysis

Hosseini, Maryam Sadat; Hammami, B.; Kazemi, Mohammad

doi:10.1007/s10815-023-02903-y

Cited by 3 publications

(3 citation statements)

References 62 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…By analyzing molecular profiles of biosimilar candidates and reference molecules, bioinformatics can uncover similarities and differences that contribute to biosimilarity assessment [97]. Furthermore, bioinformatics aids in the identification of potential therapeutic targets by integrating data from various sources, including gene expression [98], protein-protein interactions [99], and pathway analysis [100].…”

Section: Data Mining and Bioinformaticsmentioning

confidence: 99%

Transforming Drug Design: Innovations in Computer-Aided Discovery for Biosimilar Agents

Askari,

Ghofrani,

Taherdoost

2023

BioMedInformatics

View full text Add to dashboard Cite

In pharmaceutical research and development, pursuing novel therapeutics and optimizing existing drugs have been revolutionized by the fusion of cutting-edge technologies and computational methodologies. Over the past few decades, the field of drug design has undergone a remarkable transformation, catalyzed by the rapid advancement of computer-aided discovery techniques and the emergence of biosimilar agents. This dynamic interplay between scientific innovation and technological prowess has expedited the drug discovery process and paved the way for more targeted, effective, and personalized treatment approaches. This review investigates the transformative computer-aided discovery techniques for biosimilar agents in reshaping drug design. It examines how computational methods expedite drug candidate identification and explores the rise of cost-effective biosimilars as alternatives to biologics. Through this analysis, this study highlights the potential of these innovations to enhance the efficiency and accessibility of pharmaceutical development. It represents a pioneering effort to examine how computer-aided discovery is revolutionizing biosimilar agent development, exploring its applications, challenges, and prospects.

show abstract

Section: Data Mining and Bioinformaticsmentioning

confidence: 99%

Transforming Drug Design: Innovations in Computer-Aided Discovery for Biosimilar Agents

Askari,

Ghofrani,

Taherdoost

2023

BioMedInformatics

View full text Add to dashboard Cite

show abstract

“…Research has revealed the relationship between miRNA expression levels and infertility in patients with EMS [145,220]. There have been attempts to use miRNA mimics or miRNA inhibitors to modulate the expression of these miRNAs, thereby improving the reproductive capabilities of patients with EMS-related infertility [221]. EMS is commonly associated with inflammation or immune system abnormalities, and certain miRNAs have been found to play a crucial role in inflammation and immune regulation.…”

Section: Therapeutic Perspective Of Mirna In Endometriosismentioning

confidence: 99%

The Pathological Role of miRNAs in Endometriosis

Begum,

Chuan,

Hong

et al. 2023

Biomedicines

View full text Add to dashboard Cite

Association studies investigating miRNA in relation to diseases have consistently shown significant alterations in miRNA expression, particularly within inflammatory pathways, where they regulate inflammatory cytokines, transcription factors (such as NF-κB, STAT3, HIF1α), and inflammatory proteins (including COX-2 and iNOS). Given that endometriosis (EMS) is characterized as an inflammatory disease, albeit one influenced by estrogen levels, it is natural to speculate about the connection between EMS and miRNA. Recent research has indeed confirmed alterations in the expression levels of numerous microRNAs (miRNAs) in both endometriotic lesions and the eutopic endometrium of women with EMS, when compared to healthy controls. The undeniable association of miRNAs with EMS hints at the emergence of a new era in the study of miRNA in the context of EMS. This article reviews the advancements made in understanding the pathological role of miRNA in EMS and its association with EMS-associated infertility. These findings contribute to the ongoing pursuit of developing miRNA-based therapeutics and diagnostic markers for EMS.

show abstract

“…Compared to other RNA species, miRNAs are relatively RNAase-resistant, rendering them more stable against degradation ( 9 ). Recently research has expanded into elucidating miRNA profiles of endometriosis ( 10 – 12 ), and investigating how changes in miRNA expression may impact gene expression in ectopic endometrial tissue ( 13 , 14 ). While recent studies have reported promising results for the use of miRNA signatures in endometriosis diagnosis ( 15 – 19 ), gaps remain in our understanding of the relationship between miRNAs and endometriosis etiology ( 12 ).…”

Section: Introductionmentioning

confidence: 99%

Plasma microRNA expression in adolescents and young adults with endometriosis: the importance of hormone use

Brady,

Yousif,

Sasamoto

et al. 2024

Front. Reprod. Health

View full text Add to dashboard Cite

IntroductionPrior studies have investigated the diagnostic potential of microRNA (miRNA) expression profiles for endometriosis. However, the vast majority of previous studies have only included adult women. Therefore, we sought to investigate differential expression of miRNAs among adolescents and young adults with endometriosis.MethodsThe Women's Health Study: from Adolescence to Adulthood (A2A) is an ongoing WERF EPHect compliant longitudinal cohort. Our analysis included 64 patients with surgically-confirmed endometriosis (96% rASRM stage I/II) and 118 females never diagnosed with endometriosis frequency matched on age (median = 21 years) and hormone use at blood draw. MicroRNA measurement was separated into discovery (10 cases and 10 controls) and internal replication (54 cases and 108 controls) phases. The levels of 754 plasma miRNAs were assayed in the discovery phase using PCR with rigorous internal control measures, with the relative expression of miRNA among cases vs. controls calculated using the 2−ΔΔCt method. miRNAs that were significant in univariate analyses stratified by hormone use were included in the internal replication phase. The internal replication phase was split 2:1 into a training and testing set and utilized FirePlex miRNA assay to assess 63 miRNAs in neural network analyses. The testing set of the validation phase was utilized to calculate the area under the curve (AUC) of the best fit models from the training set including hormone use as a covariate.ResultsIn the discovery phase, 49 miRNAs were differentially expressed between endometriosis cases and controls. The associations of the 49 miRNAs differed by hormone use at the time of blood draw. Neural network analysis in the testing set of the internal replication phase determined a final model comprising 5 miRNAs (miR-542-3p, let-7b-3p, miR-548i, miR-769-5p, miR-30c-1-3p), yielding AUC = 0.77 (95% CI: 0.67–0.87, p < 0.001). Sensitivity in the testing dataset improved (83.3% vs. 72.2%) while the specificity decreased (58.3% vs. 72.2%) compared to the training set.ConclusionThe results suggest that miR-542-3p, let-7b-3p, miR-548i, miR-769-5p, miR-30c-1-3p may be dysregulated among adolescent and young adults with endometriosis. Hormone use was a significant modifier of miRNA dysregulation and should be considered rigorously in miRNA diagnostic studies.

show abstract

Identification of potential diagnostic biomarkers and therapeutic targets for endometriosis based on bioinformatics and machine learning analysis

Cited by 3 publications

References 62 publications

Transforming Drug Design: Innovations in Computer-Aided Discovery for Biosimilar Agents

Transforming Drug Design: Innovations in Computer-Aided Discovery for Biosimilar Agents

The Pathological Role of miRNAs in Endometriosis

Plasma microRNA expression in adolescents and young adults with endometriosis: the importance of hormone use

Contact Info

Product

Resources

About